Isaac Sim Consultant

Isaac Sim Expert Mountain View, CA - 5 days onsite ( NO REMOTE) Here is updated JD Summary: Simulation engineer with experience across the robotics stack (minus/except modeling). Simulation Engineer (Isaac Sim expert) – set up and maintain simulation environment, auto-annotation, and CAD/synthetic data pipeline Simulation & synthetic data pipeline Objective: stand up Sim environment, auto-annotation, CAD ingestion, & data generation to unblock model fine-tuning simulation engineer (Isaac Sim expert) Robotics Engineer (hardware setup & integration) – install robot arms, cameras, grippers; run calibration & IK testing Physical robotics integration & calibration Objective: install robot arms, grippers, cameras; perform calibration, IK testing, safety checks An Isaac Sim expert has deep knowledge of NVIDIA's robotics simulation platform and its integration into robotics and AI workflows. This expertise covers building, testing, and training AI-driven robots in physically realistic virtual environments using the NVIDIA Omniverse platform. Core areas of expertise An Isaac Sim expert is skilled in a wide range of tasks and technologies essential for advanced robotics simulation: • Physics simulation: Tuning and optimizing the high-fidelity, GPU-accelerated PhysX engine for realistic robot behavior. • Synthetic data generation (SDG): Using NVIDIA Omniverse Replicator to generate large, labeled datasets for training perception models. This includes randomizing scenes, objects, and lighting to create diverse data. • Digital twins: Creating precise virtual replicas of real-world environments, such as factory floors, to design and validate robot applications before real-world deployment. • Robot learning: Developing and accelerating reinforcement learning (RL) and imitation learning algorithms using the GPU-accelerated Isaac Lab framework. • Sensor simulation: Accurately simulating a variety of sensors, including cameras, LiDAR, and contact sensors, with features like RTX real-time ray and path tracing. • Robotics integration: Bridging the simulation to real-world robots using communication protocols like ROS and ROS 2. • Workflow scripting: Using Python and the Core API for a wide range of tasks, from building environments to scripting complex robot behaviors. • USD and Omniverse: Leveraging the Universal Scene Description (OpenUSD) file format to import, build, and share robot and environment assets. Key skills for an Isaac Sim expert Recruiters and project managers seeking an expert in this field often look for the following skills: • Technical proficiency: Deep expertise in Python and/or C++ and extensive experience with Isaac Sim and the Omniverse platform. • Robotics fundamentals: A strong background in physics, kinematics, motion planning, and 3D modeling. • Machine learning: Knowledge of training and deploying AI models, particularly in the context of robot perception and control. • System integration: Experience integrating different software components and hardware into a cohesive robotics system. • Troubleshooting: The ability to debug complex issues related to physics, integration, and simulation performance. Common projects for an Isaac Sim expert Isaac Sim is used for a variety of advanced robotics projects, including: • AI-powered manipulators: Training robotic arms to perform complex tasks like assembly and grasping in a simulated environment. • Warehouse automation: Simulating fleets of autonomous mobile robots (AMRs) for tasks like navigation and package handling. • Humanoid development: Accelerating the training of humanoid robots to perform a wide range of movements and tasks. • Factory simulation: Creating a digital twin of a factory floor to test layouts, optimize robot placement, and validate new assembly processes. • Perception model training: Generating large-scale synthetic datasets with automated annotations to train and improve robot vision systems.